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Download the new version MedCalc 22.0122/26/2024 ![]() 100 Safe and Secure Free Download (32-bit/64-bit) Latest Version 2023. ![]() ![]() Specificity: probability that a test result will be negative when the disease is not present (true negative rate).Sensitivity: probability that a test result will be positive when the disease is present (true positive rate).(*) These values are dependent on disease prevalence. Download MedCalc for Windows PC from FileHorse. The information can be easily sorted, filtered or edited. = Sensitivity × Prevalence + Specificity × (1 − Prevalence) Accuracy: overall probability that a patient is correctly classified.Negative predictive value: probability that the disease is not present when the test is negative.Positive predictive value: probability that the disease is present when the test is positive.= False negative rate / True negative rate = (1-Sensitivity) / Specificity Negative likelihood ratio: ratio between the probability of a negative test result given the presence of the disease and the probability of a negative test result given the absence of the disease, i.e.= True positive rate / False positive rate = Sensitivity / (1-Specificity) Positive likelihood ratio: ratio between the probability of a positive test result given the presence of the disease and the probability of a positive test result given the absence of the disease, i.e. With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. ![]()
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